Apache Superset is a Data Visualization and Data Exploration Platform
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Apache Superset is a Data Visualization and Data Exploration Platform
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
Turns Data and AI algorithms into production-ready web applications in no time.
An orchestration platform for the development, production, and observation of data assets.
The Data Engineering Cookbook
Always know what to expect from your data.
Python SQL Parser and Transpiler
🐚 Python-powered shell. Full-featured, cross-platform and AI-friendly.
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
The Open Source Feature Store for AI/ML
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
the portable Python dataframe library
🌊 Online machine learning in Python
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
Utils for streaming large files (S3, HDFS, gzip, bz2...)
Koalas: pandas API on Apache Spark
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.